Risk Engineer - Fully Remote | Upto $80/hr
WFA Digital Insight
The demand for skilled risk engineers in the remote job market has grown significantly, with a 25% increase in 2025 alone. As companies like mercor continue to innovate in AI research and development, professionals with expertise in fraud detection, risk scoring, and transaction monitoring are in high demand. With the rise of fintech and e-commerce, the need for robust risk engineering solutions has never been more pressing. mercor's commitment to connecting top talent with leading AI research labs makes this role an exciting opportunity for those looking to make a meaningful impact in the industry. Before applying, candidates should be prepared to showcase their experience in fraud engineering, risk engineering, or related domains, as well as their proficiency in AI coding agents.
Job Description
About the Role
As a Risk Engineer at mercor, you will be working with cutting-edge AI coding agents to develop and implement robust risk engineering solutions. Your primary focus will be on fraud detection, risk scoring, and transaction monitoring, leveraging your expertise to identify and mitigate potential threats. You will be part of a team of elite creative and technical talent, working together to drive innovation in AI research and development.The role of a Risk Engineer is critical in today's digital landscape, where the risk of fraud and cyber threats is ever-present. By joining mercor, you will have the opportunity to work with leading AI research labs and contribute to the development of groundbreaking solutions. Your day-to-day responsibilities will involve collaborating with cross-functional teams, reviewing model-generated implementations, and applying your professional engineering judgment to realistic fraud and risk engineering scenarios.
What You Will Do
- Use frontier AI coding agents to complete and evaluate complex fraud and risk engineering tasks
- Review model-generated implementations involving fraud detection systems, risk scoring models, abuse prevention tooling, and transaction monitoring systems
- Identify bugs, edge cases, and failure modes to enhance model robustness
- Compare outputs from multiple frontier models and assess their strengths and weaknesses
- Apply professional engineering judgment to realistic fraud and risk engineering scenarios
- Collaborate with cross-functional teams to develop and implement robust risk engineering solutions
- Evaluate model-generated solutions in fraud, risk, and trust & safety contexts
- Develop and maintain comprehensive documentation of risk engineering processes and procedures
- Participate in code reviews and contribute to the improvement of the overall codebase
What We Are Looking For
- 2+ years of professional experience in fraud engineering, risk engineering, trust & safety, or related domains
- Experience building fraud detection systems, risk scoring models, abuse prevention tooling, or transaction monitoring systems
- Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools
- Ability to evaluate model-generated solutions in fraud, risk, and trust & safety contexts
- Strong understanding of machine learning concepts and algorithms
- Excellent problem-solving skills and attention to detail
- Ability to work independently and collaboratively in a remote environment
Nice to Have
- Experience in fintech, payments, marketplaces, or large-scale consumer platforms
- Familiarity with cloud-based technologies and containerization
- Knowledge of regulatory requirements and industry standards for risk engineering
- Certification in risk management or a related field
Benefits and Perks
- Competitive compensation of up to $80/hour
- Opportunity to work with leading AI research labs and contribute to groundbreaking solutions
- Collaborative and dynamic remote work environment
- Access to cutting-edge technologies and tools
- Professional development opportunities and support for ongoing education and training
- Flexible working hours and remote work arrangements
- Comprehensive documentation and support for risk engineering processes and procedures
How to Stand Out
- Showcase your experience in fraud engineering, risk engineering, or related domains, highlighting specific projects and achievements.
- Be prepared to demonstrate your proficiency in AI coding agents and machine learning concepts.
- Tailor your resume and cover letter to emphasize your skills and experience in risk engineering and fraud detection.
- Practice your problem-solving skills and be ready to apply your knowledge to realistic scenarios.
- Research mercor and its commitment to AI research and development to demonstrate your interest and enthusiasm for the company and role.
- Prepare to discuss your experience working in a remote environment and your ability to collaborate with cross-functional teams.
- Be prepared to negotiate your salary based on your experience and qualifications, and don't be afraid to ask about benefits and perks.
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